prepLaterality: Prepare tumor laterality feature for logit modeling.

In novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients

Description

Prepare tumor laterality feature for logit modeling.

Usage

prepLaterality(data)

Arguments

data	dataframe, rows are clinical visits to be classified, columns are features including clinical visits ids, and at least the following column: tumorLaterality char, tumor laterality

Details

Converts tumor laterality feature into two boolean features: "left" and "right". Searches for "left", "right", "both" in tumorLaterality and sets "both" as "left" and "right."

Value

data dataframe with replaced laterality columns

Examples

data("features_ratechange_sup0.4g60l2z2")  # features and labels for each clinical visit

# format
names <- colnames(feats)
feats <- data.frame(id=row.names(feats),feats)
colnames(feats) <- c('id',names)
cat('...overall samples: ', nrow(feats), '\n')

feats <- prepLaterality(feats) 

novasmedley/gbmSpm documentation built on May 17, 2019, 10:39 a.m.